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Hi, I am trying to run the experiment for generating the figure3 in journal version of HDMM. However, when I run the scalability for generate 100 inner iterations for OPTx, it output the type error ( for experiments in scalability_5d.csv) :
hdmm/experiments/journal/scalability.py", line 118, in
temp1.optimize(W, iters=100)
TypeError: Kronecker.optimize() got an unexpected keyword argument 'iters'.
So I am wondering if those iters=100 are for just generate for loop around temp.optimize? or its defined as line 280 for class Kronecker's optimize function in templeates.py from scr/hdmm? where as the for _ in range(10): the 10 is actually represent for iters?
The text was updated successfully, but these errors were encountered:
Hi @offthewallace , thanks for bringing this issue to our attention. It's been a while since I've used this code, but I think I'd recommend just removing that option from optimize, I expect the default number of iterations should work fine.
Hi, I am trying to run the experiment for generating the figure3 in journal version of HDMM. However, when I run the scalability for generate 100 inner iterations for OPTx, it output the type error ( for experiments in scalability_5d.csv) :
hdmm/experiments/journal/scalability.py", line 118, in
temp1.optimize(W, iters=100)
TypeError: Kronecker.optimize() got an unexpected keyword argument 'iters'.
temp1 = templates.DefaultKron(domain, approx=False)
So I am wondering if those iters=100 are for just generate for loop around temp.optimize? or its defined as line 280 for class Kronecker's optimize function in templeates.py from scr/hdmm? where as the
for _ in range(10):
the 10 is actually represent for iters?The text was updated successfully, but these errors were encountered: